Ðåôåðàòû. The manager as a teacher: selected aspects of stimulation of scientific thinking

Evolution of systems. Complex control block. For the most efficient achievement of the goal the system always should carry out its action in the optimum way and produce the result of action in the right place and time. The system's control block solves both problems: where and when it is necessary to actuate. In order to be able to operate at the right place it should have a notion of space and the corresponding sensors delivering information on the situation in the given space. In turn, the time of delivery of the result of action with simple systems includes two periods: the time spent for decision-making (from the moment of onset of external influence till the moment of SFU activation) and the time spent for the SFU actuation (from the moment of the beginning of SFU activation till the moment the result of action is achieved). The time spent for the decision-making depends on duration of cycles of the system's performance which issue was discussed above. The time spent for the SFU actuation depends on the SFU properties such as, for example, the speed of biochemical reactions in live cells or the speed of reduction of sarcomere in muscular cells which to a considerable degree depends on the speed of power consumption by these SFU and the speed of restoration of energy potential after these SFU have been actuated. These speeds are basically the characteristics inherent in SFU, but are also determined by service systems which serve these SFU. They may also be controlled by control block. Metabolic, hormonal, prostaglandin and vegetative neural regulation in living organism is intended just for this purpose, i.e. to change to some extent the speeds of biochemical reactions in tissue cells and conditions of delivery of energy resources by means of regulation of (service) respiratory and blood circulation systems. But the notion of “at the right time” means not only the time of actuation in response to the external influence. In many cases there is a need for the actuation to start before external influence is exerted. However, the system with simple control block starts to perform only after the onset of external influence. It is a very significant (catastrophic) drawback for living systems, because if the organism is being influenced upon, it may mean that it is already being eaten. It would be better if the system started to perform before the onset of this external influence. If the external situation is threatening by the onset of dangerous influence, the optimal actions of the system may protect it from such influence. For this purpose it is necessary to know the condition of external situation and to be able to see, estimate and know what actions need to be undertaken in certain cases. In other words, it is necessary to exercise control in order to forestall real result of action prior to external influence. In order to perform these actions it should contain special elements which can do it and which it does not have. Simple control block can exercise control only on the basis of mismatch (divergence/discrepancy) of real result of action with the preset one, because the system with simple control block cannot “know” anything about external situation until the moment this situation starts to influence upon the system. The knowledge of external situation is inaccessible to simple control block. Therefore, simple control block always starts to perform with delay. It may be sometimes too late to control. If the system (the living organism) does not know the external situation, it may not be able to make projection as to what the situation is and catch the victim or forestall encounter with a predator. Thus, simple control block cannot make decisions on the time and place of actuation. For this purpose control block needs a special analyzer which can determine and analyze external situation and depending on various external or internal conditions elaborate the decision on its actions. This analyzer should have a notion of time and space in which certain situation is deployed, as well as corresponding informants (sensors with communication lines between them and this special analyzer) which provide information on the external situation. The analyzer-informant has nothing of this kind. When the hunter shoots at a flying duck, it shoots not directly at the bird, but he shoots with anticipation as he knows that before the bullet reaches a duck it (the duck) will move forward. The hunter, being a system intended for shooting a duck, should see the entire situation at a distance, estimate it correctly, make the projection as to whether it makes sense to shoot, and he should act, i.e. shoot at a duck, only on the basis of such analysis. He cannot wait until the duck touches him (until his “X” is actuated) so that he then can shoot at it. In order to do so he should first single out a duck as the object he needs from other unnecessary objects, then measure a distance to a duck, even if it would be “by eye”. He does it by means of special (visual) analyzer which is neither “X” nor “Y” sensor, but is an additional “C” sensor (additional special remote receptors with afferent paths). Such receptors can be any receptors which are able of receiving information at a distance (haemo-, termo-, photoreceptors, etc). The hunter's visual analyzer includes photosensitive rods and cone cells in the eye (photoreceptors), optic nerves and various cerebral structures. He should be able to distinguish all surrounding subjects, classify them and single out a duck against the background of these subjects and locate a duck (situational evaluation). In addition, by means of reciprocal innervation he should position his body in such a way that the gun is directed precisely to the place in front of the duck (forestalling/ anticipation) to achieve the goal, i.e. to hit the duck. He does all this by means of his additional analyzer which is the analyzer-classifier. Simple control block of systems with NF does not contain such additional analyzer-classifier. That is why it is called “simple”. It has only analyzer-informant which feels external influence by means of “X” sensor only when this influence has already begun; it measures the result of action by means of NF (“Y” sensor) only when this result is already evident and analyzes the information received after the result of action is already produced, because it takes time for the NF to activate. In addition, the analyzer-informant contains only “database” in which the table of due values of controllable parameters (data) which need to be compared to the data of measurements of external influence and results of action “is written down” in explicit or implicit form. It elaborates decisions on the basis of these comparisons. Its algorithm of control is based only on the comparison of the given measurements carried out by “X” and “Y” with the “database”. If the mismatch is equal to “M” it is necessary to perform, for example, less action, whereas if it is equal to “N”, then more action should be done. Simple control block cannot change the decision as to the alteration of the level of controllable parameter, time of actuation and the NF intensity, since it does not have appropriate information. To perform these actions it should contain special elements which can provide it with such information. What does it need for this purpose? In order to make a decision the given block should “know” the situation around the system which can cause certain external influence. For this purpose it should first of all “see” it, i.e. have sensors which can receive information at a distance and without direct contact (remote “C” informant). In addition, it should contain a special analyzer-classifier which can classify external environment and single out from it not all the objects and situations, but those only which may affect the implementation of its goals. Besides, it should have notions of space and time. The play of fish and even dolphin shoals in the vicinity of floating combatant ship cannot affect its movement to target destination. But the “game” of the enemy submarine in its vicinity may substantially affect the fulfillment of its task. The combatant ship should be able to “see” all its surroundings and, based on the external situation, single out from all possible situations only those that may create such external influences which can prevent it from the implementation of its objective. For this purpose it should “know” possible situational scenarios which may affect the achievement of the goal of the given system. To this effect it should have “knowledge base” containing the description of all those situations which can affect the implementation of the objective. If its “knowledge base” does not have the description of certain objects or situations it cannot distinguish (classify) an object or a situation and can not make correct decision. The “knowledge base” should store information not on the parameters of external influence which are stored in the “database”, but on the situations around (beyond) the system which may lead to specific external influence. The “knowledge base” may be introduced in the control block at the moment of its “birth” or later together with the command, at that it is being introduced in the given block by the systems external in relation to the given system. If its “knowledge base” does not contain the description of the given situation, it can not distinguish and classify it. The “knowledge base” contains the description of various situations and the significance of these situations for the system. Knowing the importance of real situation for the achievement of the goal the system can make projection and take decision on its actions depending on the projection made. In addition to the “knowledge base” it should have “decision base”- a set of ready/stored/ decisions that are made by the control block depending on the situation and the projection, (authorized decisions, instructions) in which appropriate decisions are stored that need to be made in respective situations. If it does not have ready decisions regarding external situation it cannot perform its objective. Having identified a situation and elaborated the decision, it gives a command to the analyzer-informant which activates a stimulator in an appropriate way. Thus, the control block is being complexificated on account of inclusion in its structure of the “C” informant and the analyzer-classifier containing the “knowledge base” and the “base of decisions”. That is why such control blocks are called “complex”. The more complex the decision-making block is, the more precise decision may be chosen. Consequently, complex control block includes both the analyzer-informant which has “database
and the analyzer-classifier which has the “knowledge base” and the “decision base”. Not any living cell has analyzer - classifier. Animate/organic/ nature is classified under two major groups: flora and fauna. Plants, as well as many other living forms of animate nature, such as corals and bacteria, do not possess remote sensors, although in some cases it may seem that plants, nevertheless, do have such sensors. For example, sunflowers turn their heads towards the sun as if phototaxis is inherent in them. But they actually turn their heads not towards the light, but towards the side wherefrom their bodies get more heated, and heat comes from the side wherefrom the light comes. Heat is felt locally by a sunflower's body. It does not have special infra-red sensors. Photosynthesis process is not a process of phototaxis. Hence, plants are systems with simple control block. In spite of the fact that there are plants with a very complex structure that are even capable to feed on subjects of fauna, their control block is still simple and reacts only to direct contact. For example, a sundew feeds on insects; it can entice them, paste them to its external stomach and even contract its valves. It's a predator and in this sense it is akin to a wolf, a shark or a jellyfish. It can do variety of actions like an animal, but it can only do it after the insect alights on it. A sundew cannot chase its victims because it does not see them (remote sensors are not available). Whatever alights on it, even a small stone, it will do all necessary actions and try to digest it because it does not have analyzer-classifier. This is why a sundew is a plant, but not an animal. Animate cells, including unicellular forms, even such as amoeba or infusoria types, are systems with complex control blocks since they possess at least one of spatial analyzers - chemotaxis. It is the presence of remote sensors that differs a cell of an animal from any objects of flora, in which such sensors controls are not present. Therefore the control block is a determinant of what kind of nature the given living object belongs to. The jellyfish is not an alga, but an animal because it has chemotaxis. Remote analyzer gives an idea about the space in which it has to move. That is why plants stay put, while animals move in space. Simple control block including only the analyzer-informant is a determinant of the world of minerals and plants. We will see below where the difference between the mineral and vegetative worlds/natures lies. Complex control block including the analyzer-classifier is a fauna determinant anyway. An amoeba is the same kind of hunter as a wolf, a shark or a man. It feeds on infusorians. To catch an infusorian it should know where the latter is and should be able to move. It cannot see the victim at a distance, but it can feel it by its chemical sense organs and seek to catch it as it has chemotaxis, possibly the first of the remote sensor mechanisms. But in addition to chemotaxis the amoeba should also have a notion (even primitive) of space in which it exists and in which it should move in a coordinated and task-oriented manner to catch an infusorian. In addition, it should be able to single out an infusorian from other objects which it can encounter on its way. Its analyzer-classifier is much simpler than, for example, that of a wolf or a shark because it does not have organs of sight and hearing and neural structures at all, but it can classify external situation. It has complex control block comprising the “C” informant, and that is why an amoeba is not a plant, but an animal. Since control blocks may be of any degree of complexity, reflexes may be of any degree of complexity, too, from elementary axon reflexes to the reflexes including the cerebral cortex performance (instincts and conditioned reflexes). The number of reflexes of living organism is enormous and there exist specific reflexes for each system of the organism. Moreover, the organism is not only a complex system in itself, but due to its complexity it has a possibility to build additional, temporary/transient/ systems necessary at the given point of time for some specific concrete occasion. For example, lamentation system is a temporary system which the organism builds for a short time interval. The lamentation system's control block is the example of complex control block. The purpose of lamentation is to show one's suffering and be pitied. This system includes, in the capacity of composite executive elements, other systems (subsystems) that are located sufficiently far from each other both in space and in terms of functions (lacrimal glands, respiratory muscles, alveoli and pulmonary bronchial tubes, vocal chords, mimic muscles, etc.). At first the external situation is identified and in case of need lamentation reflex (complex reflex, an instinct) is actuated under the certain program, which includes control of lifting up one's voice up to a certain timbre (control over the respiratory muscles and vocal chords), sobbing (a series of intermittent sighs), lacrimation /excretion of tears/, specific facial expression, etc. All these remote elements are consolidated by the complex control block in a uniform system, i.e. lamentation system, with very concrete and specific purpose to show one's sufferings to the other system. The lamentation reflex can be realized at all levels of nervous system, starting from the higher central cerebral structures, including vegetative neural system, subcortex and up to cerebral cortex. But we are examining only child's weeping which is realized in neural structures not higher than subcortex level (instinctive crying). After the purpose has been achieved (sufferings have been explicitly demonstrated, and whether or not the child was pitied will be found out later) the reflex is brought to a stop, this complex control block disappears and the system disintegrates into the components which now continue functioning as part of other systems of organism. Lamentation system disappears (it is scattered). Whence the control block (at subcortex level) knows that it is necessary to cry now, but it is not necessary to cry at any other moment? For this purpose it identifies a situation (singles it out and classifies). The analyzer-classifier is engaged in it. Its “knowledge base” is laid down in subcortex from birth (the instincts). Simple control block cannot perform such actions. All actions of the systems controlled by elementary and simple control blocks would be automatic. Biological analogues of elementary control block are the axon reflexes working under the “all-or-none” law; those of simple control blocks are unconditional (innate, instinctive) reflexes when certain automatic, but graduated reaction occurs in response to certain external influence. Simple control block would be adapting the system's actions better than the elementary one because it takes account of not only external influence, but the result of action of the system which has occurred in response to this external influence as well. But it cannot identify a situation. Complex control block can perform such actions. It reacts not to external influence, but to certain external situation which can exert certain external influence. Biological analogues of complex control block are complex reflexes or instincts. During pre-natal development the “knowledge” of possible situations “is laid down” into the brain of a fetus (the “knowledge base”). The volume of this knowledge is immense. A chicken can run immediately after it hardly hatches from egg. A crocodile, a shark or a snake become predators right after birth, i.e. they know and are able of doing everything that is required for this purpose. It speaks of the fact that they have sufficient inborn “knowledge base” and “base of decisions” for this purpose. In such cases we say that animal has instincts. Thus, the system with complex control block is the object which can react to certain external situation in which this influence may be exerted. But it can react only to fixed (finite) number of external situations which description is contained in its “knowledge base” and it has a finite number of decisions on these situations which description is contained in its “base of decisions”. In order to identify external situation it has the “C” informant and the analyzer-classifier. In other respects it is similar to the system with simple control block. It can also react to certain external influence and its reaction is stipulated by type and number of its SFU. The result of action of the system is also graduated. The number of gradations is defined by the number of executive SFU in the system. It also has the analyzer-informant with the “database”, DPC (the “X” informant) and NF (the “Y” informant), which control the system through the stimulator (efferent paths). There are no analogues with complex control block in inorganic /abiocoen, inanimate/ nature. Biological analogues of systems with complex control block are all animals, from separate cells to animals with highly developed nervous system including cerebrum and remote sense organs, such as sight, hearing, sense of smell, but in which it is impossible to develop reflexes to new situations, for example, in insects. The analogues of the “C” informant are all “remote” receptors: eyesight (or its photosensitive analogues in inferior animals), hearing and sense of smell. The analogues of analyzer-classifier are, for example, visual, acoustical, gustatory and olfactory analyzers located in the subcortex. Visual, acoustical, gustatory and olfactory analyzers located in the cerebral cortex are anyway referred to analyzers-correlators.

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